FARFOOD: a database of potential interactions between food compounds and drugs [0.03%]
基于食物成分和药物相互作用的数据库_FARfood
Ana María Nevado-Bulnes,Dixan Agustin Benitez,Guadalupe Cumplido-Laso et al.
Ana María Nevado-Bulnes et al.
Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs) [0.03%]
基于YOLO的植物叶片病害智能识别方法研究
Chhaya Gupta,Nasib Singh Gill,Preeti Gulia et al.
Chhaya Gupta et al.
Plant leaf diseases (PLDs) can continue to be a significant problem in the agricultural sector, leading to significant losses in production and jeopardizing food security. Early detection is essential, and recent achievements in the domain ...
An explainable machine learning model for predicting postoperative cholangitis in pediatric surgical patients with pancreaticobiliary maljunction [0.03%]
一种可解释的机器学习模型 用于预测胰胆合流异常外科患儿术后胆管炎
Hui-Min Mao,Jia Geng,Bin Zhu et al.
Hui-Min Mao et al.
Purpose: To develop and validate an explainable machine learning (ML) model to predict postoperative cholangitis (POC) in pediatric patients with pancreaticobiliary maljunction (PBM) using readily accessible clinical data...
Optimizing accuracy and dimensionality: a swarm intelligence strategy for robust cancer genomics classification [0.03%]
优化准确率和维度：一种用于稳健癌症基因组学分类的群体智能策略
Abrar Yaqoob,Mushtaq Ahmad Mir,R Vijaya Lakshmi et al.
Abrar Yaqoob et al.
High-dimensional gene expression datasets pose a major challenge in cancer classification due to redundancy, noise, and the risk of overfitting. To address these issues, this study proposes a hybrid framework that integrates the Dung Beetle...
Computational prediction of cellular elastic modulus from mechanosensitive gene expression at multiple biological levels [0.03%]
基于多组学力学敏感基因表达的细胞弹性模量计算预测模型
Yanhong Xiong,Xiaoyan Zhou,Qi Wang
Yanhong Xiong
Background: Understanding cellular mechanical properties is crucial for investigating cell fate determination, embryonic development, and disease progression. Traditional methods of measuring cellular mechanical propertie...
From prompt engineering to agent engineering: expanding the AI toolbox with autonomous agentic AI collaborators for biomedical discovery [0.03%]
从提示工程到代理工程：利用自主代理式人工智能合作者拓展生物医学发现的AI工具箱
Jason H Moore,Nicholas P Tatonetti
Jason H Moore
CAUSALRLSTACK: adaptive balancing of deep representation and causal effect estimation with application to HIV-related health data [0.03%]
基于深度学习的HIV相关健康数据因果推断方法研究
Dat Thanh Pham,Khai Quang Tran,Viet Anh Nguyen
Dat Thanh Pham
Background and objective: Estimating individualized causal effects plays a vital role in data-driven decision-making, especially in high-risk domains such as public health. However, current causal inference models often l...
Deep learning-driven TCRβ repertoire analysis enhances diagnosis and enables mining of immunological biomarkers in systemic lupus erythematosus [0.03%]
基于深度学习的TCRβ谱系分析可提升系统性红斑狼疮诊断并实现免疫生物标志物挖掘
Tongfei Shen,Yifei Sheng,Wan Nie et al.
Tongfei Shen et al.
Background: Systemic Lupus Erythematosus (SLE) is a complex autoimmune disorder involving dysregulation of multiple immune components, including T cells. Aberrant T-cell activity contributes significantly to the immune pa...
FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis [0.03%]
基于深度学习和强化学习的糖尿病视网膜病变早期诊断中的微动脉瘤与出血精密检测方法
Abbas Rehman,Gu Naijie,Stephen Ojo et al.
Abbas Rehman et al.
Diabetic retinopathy (DR) is a primary cause of blindness globally and its treatment and management depend on accurate and timely identification. Current approaches for DR detection and segmentation repeatedly fall short in accuracy and stu...
Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays [0.03%]
运用人工智能（AI）建立临床变异报告模型用于下一代测序（NGS）肿瘤检测项目
Kenneth D Doig,Rashindrie Perera,Yamuna Kankanige et al.
Kenneth D Doig et al.
Background: Targeted next generation sequencing (NGS) of somatic DNA is now routinely used for diagnostic and predictive reporting in the oncology clinic. The expert genomic analysis required for NGS assays remains a bott...